Dear Hamed,
I think it would be a good idea to also consider gmean when extending scikit.
It is the geometric mean of TNR and TPR instead of the arithmetic mean used for
the balanced accuracy.
Greets
Mario
On 28.07.2014, at 19:00, [email protected]
wrote:
> Dear Joel,
>
> Sorry for the delay. I was in a trip and I couldn't check my email.
>
> To the best of my knowledge and according to the kind responses in this
> email thread, we cannot claim that an specific measure is better than the
> others for imbalanced data. In other words, there are some evaluation
> measure suitable for imbalanced data and each of them has its own
> advantages. Hence, choosing the best evaluation measure totally depends on
> the application which you are working on.
>
> Anyway, "Matthew's Correlation Coefficient", "AUC of ROC", "F-measure",
> "Balanced Accuracy", and generally "Weighted Accuracy" have been used
> frequently in the literature. Among these measures, only "balanced
> accuracy" is not developed in scikit-learn and I think it is worthwhile to
> add it to this library. I have developed it before and if you want I can
> add it to the project or send it to you.
>
> Kind Regards,
> Hamed
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